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2020 – today
- 2024
[c13]Liancheng Xu, Lihua Guo, Xiaoqi Wu, Xinhua Wang, Lei Guo:
Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network. ICIC (4) 2024: 25-36- [c12]Yiwei Hou
, Lihua Guo, Chijin Zhou, Yiwen Xu, Zijing Yin, Shanshan Li, Chengnian Sun, Yu Jiang:
An Empirical Study of Data Disruption by Ransomware Attacks. ICSE 2024: 161:1-161:12 - [i9]Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang:
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR abs/2407.18534 (2024) - 2023
- [j11]Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu:
Towards Better Semantics Exploration for Browser Fuzzing. Proc. ACM Program. Lang. 7(OOPSLA2): 604-631 (2023) - [c11]Chijin Zhou, Lihua Guo, Yiwei Hou, Zhenya Ma, Quan Zhang, Mingzhe Wang, Zhe Liu, Yu Jiang:
Limits of I/O Based Ransomware Detection: An Imitation Based Attack. SP 2023: 2584-2601 - [i8]Yu Xiao, Xin Yang, Sijuan Huang, Lihua Guo:
A Subabdominal MRI Image Segmentation Algorithm Based on Multi-Scale Feature Pyramid Network and Dual Attention Mechanism. CoRR abs/2305.10631 (2023) - [i7]Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia:
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. CoRR abs/2305.18684 (2023) - [i6]Qi Ye, Lihua Guo:
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models. CoRR abs/2306.00446 (2023) - 2022
- [j10]Lihua Guo, Dawu Chen, Kui Jia:
Knowledge transferred adaptive filter pruning for CNN compression and acceleration. Sci. China Inf. Sci. 65(12) (2022) - [c10]Ruixiang Qian, Quanjun Zhang, Chunrong Fang, Lihua Guo:
Investigating Coverage Guided Fuzzing with Mutation Testing. Internetware 2022: 272-281 - [c9]Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, Yu Jiang:
Minerva: browser API fuzzing with dynamic mod-ref analysis. ESEC/SIGSOFT FSE 2022: 1135-1147 - [i5]Ruixiang Qian, Quanjun Zhang, Chunrong Fang, Lihua Guo:
Investigating Coverage Guided Fuzzing with Mutation Testing. CoRR abs/2203.06910 (2022) - 2021
- [i4]Zexi Huang, Lihua Guo, Xin Yang, Sijuan Huang:
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma. CoRR abs/2112.14026 (2021)
2010 – 2019
- 2019
- [j9]Yuwei Li, Lihua Guo, Lianwen Jin:
A Content-Aware Image Retargeting Quality Assessment Method Using Foreground and Global Measurement. IEEE Access 7: 91912-91923 (2019) - [c8]Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. ICCV 2019: 6658-6666 - [i3]Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. CoRR abs/1909.04332 (2019) - 2018
- [j8]Lihua Guo, Chenggang Guo, Lei Li, Qinghua Huang, Yanshan Li, Xuelong Li:
Two-stage local constrained sparse coding for fine-grained visual categorization. Sci. China Inf. Sci. 61(1): 018104:1-018104:3 (2018) - [j7]Lihua Guo:
Self-Paced Learning with Statistics Uncertainty Prior. IEICE Trans. Inf. Syst. 101-D(3): 812-816 (2018) - [j6]Lihua Guo:
From Easy to Difficult: A Self-Paced Multi-Task Joint Sparse Representation Method. IEICE Trans. Inf. Syst. 101-D(8): 2115-2122 (2018) - 2016
- [c7]Lihua Guo, Alan Wee-Chung Liew:
An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures. DICTA 2016: 1-5 - [c6]Lihua Guo, Alan Wee-Chung Liew:
Online-Offline Extreme Learning Machine with Concept Drift Tracking for Time Series Data. DICTA 2016: 1-6 - [c5]Lihua Guo, Fudi Li, Alan Wee-Chung Liew:
Image Aesthetic Evaluation Using Parallel Deep Convolution Neural Network. DICTA 2016: 1-5 - [c4]Lihua Guo, Chenggan Guo:
A deep sparse coding method for fine-grained visual categorization. IJCNN 2016: 632-639 - [c3]Yuling Zhang, Lihua Guo:
Study on coordinated relationship between urban rail transit and land-use. LISS 2016: 1-5 - 2015
- [j5]Boying Wu, Lihua Guo, Dazhi Zhang:
A novel method for solving a class of second order nonlinear differential equations with finitely many singularities. Appl. Math. Lett. 41: 1-6 (2015) - [j4]Lihua Guo:
Manifold Kernel Metric Learning for Larger-Scale Image Annotation. IEICE Trans. Inf. Syst. 98-D(7): 1396-1400 (2015) - [i2]Lihua Guo, Chenggan Guo:
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization. CoRR abs/1505.02505 (2015) - [i1]Lihua Guo, Fudi Li:
Image aesthetic evaluation using paralleled deep convolution neural network. CoRR abs/1505.05225 (2015) - 2014
- [j3]Lihua Guo, Yangchao Xiong, Qinghua Huang, Xuelong Li:
Image esthetic assessment using both hand-crafting and semantic features. Neurocomputing 143: 14-26 (2014) - 2013
- [j2]Lihua Guo:
Locality-Constrained Multi-Task Joint Sparse Representation for Image Classification. IEICE Trans. Inf. Syst. 96-D(9): 2177-2181 (2013) - 2011
- [j1]Lihua Guo, Lianwen Jin:
Laplacian Support Vector Machines with Multi-Kernel Learning. IEICE Trans. Inf. Syst. 94-D(2): 379-383 (2011) - [c2]Lihua Guo:
Smile Expression Classification Using the Improved BIF Feature. ICIG 2011: 783-788
2000 – 2009
- 2009
- [c1]Yang Bai, Lihua Guo, Lianwen Jin, Qinghua Huang:
A novel feature extraction method using Pyramid Histogram of Orientation Gradients for smile recognition. ICIP 2009: 3305-3308
Coauthor Index
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